GLM-5 vs Kimi K2-Thinking-0905: Specs & Benchmark Comparison
| Characteristic | GLM-5 | Kimi K2-Thinking-0905 |
|---|---|---|
| Company | Zhipu AI | Moonshot AI |
| Release Date | February 10, 2026 | September 4, 2025 |
| Parameters | 744B | 1.0T |
| Multimodal | No | No |
| Context (input) | 200K | 262K |
| Context (output) | 128K | 66K |
| Input Price / 1M | — | $0.60 |
| Output Price / 1M | $0.00 | $2.40 |
| Average Score | 0.7 | 0.9 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GLM-5 — 0.7, Kimi K2-Thinking-0905 — 0.9.
Context Window
Kimi K2-Thinking-0905 supports a larger context: 262K vs 200K tokens.
Recency
GLM-5 is newer: released 2/10/2026 vs 9/4/2025.
More About These Models
Related Comparisons
The GLM-5 and Kimi K2-Thinking-0905 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5 or Kimi K2-Thinking-0905 page. See also the complete list of AI model comparisons.